Shokrollah S Jahromi

Summary

Affiliation: University of Toronto
Country: Canada

Publications

  1. ncbi Anticonvulsant actions of gap junctional blockers in an in vitro seizure model
    Shokrollah S Jahromi
    Toronto Western Research Institute, Division of Cellular and Molecular Biology, University Health Network, Canada
    J Neurophysiol 88:1893-902. 2002
  2. ncbi Mechanisms of morphine enhancement of spontaneous seizure activity
    Ehsan Saboory
    Toronto Western Research Institute, University of Toronto, University Health Network, Toronto, Ontario, Canada
    Anesth Analg 105:1729-35, table of contents. 2007
  3. ncbi The effects of high-frequency oscillations in hippocampal electrical activities on the classification of epileptiform events using artificial neural networks
    Alan W L Chiu
    Institute of Biomaterials and Biomedical Engineering, University of Toronto, 4 Taddle Creek Road, Toronto M5S 3G9, Ontario, Canada
    J Neural Eng 3:9-20. 2006

Collaborators

  • Ehsan Saboory
  • Peter L Carlen
  • Alan W L Chiu
  • Miron Derchansky
  • Mohammed Ismaili
  • Hossam El Beheiry
  • Richard Brull
  • Houman Khosravani
  • Berj L Bardakjian

Detail Information

Publications3

  1. ncbi Anticonvulsant actions of gap junctional blockers in an in vitro seizure model
    Shokrollah S Jahromi
    Toronto Western Research Institute, Division of Cellular and Molecular Biology, University Health Network, Canada
    J Neurophysiol 88:1893-902. 2002
    ..Our data support the concept that blocking gap junctional communication is an anticonvulsant mechanism...
  2. ncbi Mechanisms of morphine enhancement of spontaneous seizure activity
    Ehsan Saboory
    Toronto Western Research Institute, University of Toronto, University Health Network, Toronto, Ontario, Canada
    Anesth Analg 105:1729-35, table of contents. 2007
    ..The aim of our study was to determine whether the neuroexcitatory activity of high-dose morphine is mediated by selective stimulation of opioid receptors...
  3. ncbi The effects of high-frequency oscillations in hippocampal electrical activities on the classification of epileptiform events using artificial neural networks
    Alan W L Chiu
    Institute of Biomaterials and Biomedical Engineering, University of Toronto, 4 Taddle Creek Road, Toronto M5S 3G9, Ontario, Canada
    J Neural Eng 3:9-20. 2006
    ..4 +/- 6.7% utilizing the frequency spectrum in the range 0-400 Hz, we can also achieve a similar level of accuracy by using a nonlinear relationship between 100-400 Hz and <4 Hz frequency bands only...